Design and optimization of uplink multi-user time-reversal DSSS systems

IF 2.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Physical Communication Pub Date : 2025-06-01 Epub Date: 2025-02-13 DOI:10.1016/j.phycom.2025.102622
Weijia Lei, Hang Yang, Mengting Zou, Hong Tang, Hongjiang Lei
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Abstract

Time reversal (TR) filtering can enhance signal strength and reduce interference by exploring multipath transmission in wireless channels. In this paper, for uplink multi-user direct sequence spread spectrum (DSSS) communication systems, a multi-user detection performance enhancement scheme is designed using TR receive filtering and successive interference cancellation (SIC). Under the constraints of the minimum rate requirement and the maximum transmit power of each user, the TR filters and the transmit power of each user are jointly optimized to minimize the total system power consumption or to maximize the sum capacity of the system. In the optimization, the imperfect SIC is considered. The two optimization problems with different objectives are both non-convex. Each original problem is transformed into two optimization sub-problems about the TR filters and the transmit power of each user. The optimal impulse responses (IRs) of the TR filters are obtained by finding the eigenvector corresponding to the maximum eigenvalue of the equivalent channel matrix beam. The transmit power of each user is determined one by one according to the minimum rate requirement when the optimization is to minimize the transmit power, and is obtained by solving the transmit power optimization sub-problem with successive convex approximation when the optimization is to maximize the sum capacity. Simulation results show that the system performance can be effectively improved by using TR filters and SIC, and can be further promoted by jointly optimizing the TR filters and each user’s transmit power.
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上行多用户时反转DSSS系统的设计与优化
时间反转滤波通过探索无线信道中的多径传输,可以增强信号强度,减少干扰。针对上行多用户直接序列扩频(DSSS)通信系统,设计了一种基于TR接收滤波和连续干扰抵消(SIC)的多用户检测性能增强方案。在最小速率要求和各用户最大发射功率约束下,联合优化TR滤波器和各用户发射功率,使系统总功耗最小或系统总容量最大。在优化中,考虑了不完全SIC。这两个目标不同的优化问题都是非凸的。将每个原始问题转化为两个关于TR滤波器和每个用户发射功率的优化子问题。通过寻找等效信道矩阵波束的最大特征值所对应的特征向量,得到了TR滤波器的最优脉冲响应。以发射功率最小为优化目标时,按最小速率要求逐个确定各用户的发射功率,以总容量最大化为优化目标时,用逐次凸逼近法求解发射功率优化子问题。仿真结果表明,使用TR滤波器和SIC可以有效地提高系统性能,并且通过共同优化TR滤波器和各用户发射功率可以进一步提高系统性能。
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来源期刊
Physical Communication
Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS
CiteScore
5.00
自引率
9.10%
发文量
212
审稿时长
55 days
期刊介绍: PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.
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